Faculty Profile

Muzammal Hussain

Lecturer

muzammal.hussain@thekit.edu.pk

(068) 111 000 155 Ext. 110

Muzammal Hussain is an academic professional focused on supporting the development and implementation of sustainable academic processes that contribute to institutional growth. With exposure to both private and government educational setups, he understands the operational dynamics of diverse academic systems. His work involves assisting in the design and coordination of academic frameworks to enhance institutional efficiency.

Muzammal has played a role in organizing national curricular and extracurricular activities, promoting student development, and facilitating knowledge exchange..

Education

2023, MS Computer Science, COMSATS University Islamabad, Pakistan
2021, BS Software Engineering, Virtual University of Pakistan

Research Interests

Natural Language Processing
Deep Learning
Deep Reinforcement Learning
Quantum Natural Language Processing (QNLP)

Publications

2025
- Hussain, M., Ali, S., Sattar, H., Raza, A., Akbar, M. H., & Rafiq, M. A. (2025). Urdu-Punjabi Code Switched Sentiment Analysis Empowered by a Deep Learning Framework Integrating XLM-R, and GPT. VAWKUM Transactions on Computer Sciences, 13(2), 01-20.
- Hussain, M., Ramay, W., Hamza Akbar, M., Muhammad Nauman Zafar, & Rashid, T. (2025). Automatic Urdu Grammar Error Correction: Harnessing the Power of Head Pruning for LLMs. International Journal of Information Systems and Computer Technologies, 4(2), 47–60.
- Hussain, M., Ahmad, S., Ullah, S., Sattar, H., & Rafiq, M. A. (2025). Multi-Class Banana Leaf Disease Detection via KHO-YOLOv8. Available at SSRN 5295011.
- Hussain, Muzammal and Shafqat Ali, Muhammad and Jamil, Danish, A Hybrid Deep Learning Approach for Apple Leaf Disease Detection: Harnessing the Power of Vit and Yolov8. Available at SSRN: https://ssrn.com/abstract=5129831 or http://dx.doi.org/10.2139/ssrn.5129831
2024
- Ashraf, M. R., Hussain, M., Jaffar, M. A., Ramay, W. Y., & Faheem, M. (2024). Revolutionizing Urdu Sentiment Analysis: Harnessing the Power of XLM-R and GPT-2. IEEE Access.
2023
- Akbar, M. H., Asghar, R., Hussain, M., Farhan, M., ALOTAIBI, F. A., & Alnfiai, M. M. (2023). Deep Reinforcement Learning Approach Based Grammatical Error Correction.